# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import onnx
import numpy as np
from base_expect import expect

if __name__ == "__main__":
    # Given a bool scalar input cond.
    # return constant tensor x if cond is True, otherwise return constant tensor y.

    then_out = onnx.helper.make_tensor_value_info(
        "then_out", onnx.TensorProto.FLOAT, [5]
    )
    else_out = onnx.helper.make_tensor_value_info(
        "else_out", onnx.TensorProto.FLOAT, [5]
    )

    x = np.array([1, 2, 3, 4, 5]).astype(np.float32)
    y = np.array([5, 4, 3, 2, 1]).astype(np.float32)

    then_const_node = onnx.helper.make_node(
        "Constant",
        inputs=[],
        outputs=["then_out"],
        value=onnx.numpy_helper.from_array(x),
    )

    else_const_node = onnx.helper.make_node(
        "Constant",
        inputs=[],
        outputs=["else_out"],
        value=onnx.numpy_helper.from_array(y),
    )

    then_body = onnx.helper.make_graph([then_const_node], "then_body", [], [then_out])

    else_body = onnx.helper.make_graph([else_const_node], "else_body", [], [else_out])

    if_node = onnx.helper.make_node(
        "If",
        inputs=["cond"],
        outputs=["res"],
        then_branch=then_body,
        else_branch=else_body,
    )

    cond = np.array(1).astype(bool)
    res = x if cond else y
    expect(
        if_node,
        inputs=[cond],
        outputs=[res],
        name="test_if",
        opset_imports=[onnx.helper.make_opsetid("", 11)],
    )
